Highlights
- •We investigated clinical and radiological findings in MSA patients.
- •MMSE score correlates with disease duration, global disability, and dysautonomia.
- •FAB score correlates with motor function and cerebral white matter lesions.
- •Residual urine volume correlates with rapidly progressive cognitive impairment.
Abstract
Objective
To determine predictors of cognitive impairment and frontal dysfunction in patients
with multiple system atrophy (MSA).
Methods
We recruited 59 patients with MSA and determined the predictors of a decline in the
Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB) scores.
Results
The MMSE scores negatively correlated with disease duration, Unified MSA Rating Scale
(UMSARS) part 1 and 4 scores, and residual urine volume, and positively correlated
with the coefficient of variation of electrocardiographic RR intervals. The FAB scores
negatively correlated with the UMSARS part 2 score, periventricular hyperintensity
grade, and deep white matter hyperintense signal grade. A significant predictor of
rapidly progressive cognitive impairment was a high residual urine volume.
Conclusions
Impairment of global cognitive function correlates with the long-term disease duration,
global disability due to the disease, and autonomic dysfunction, whereas frontal dysfunction
correlates with motor function and degeneration of cerebral white matter.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of the Neurological SciencesAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
Reference
- Cognitive impairment in multiple system atrophy: a position statement by the neuropsychology task force of MDS multiple system atrophy (MODIMSA) study group.Mov. Disord. 2014; 29: 857-867
- Cognitive deficits in multiple system atrophy correlate with frontal atrophy and disease duration.Eur. J. Neurol. 2009; 16: 1144-1150
- Factors influencing the cognitive function in patients with multiple system atrophy.Mov. Disord. 2010; 25: 2891-2892
- Multiple system atrophy with remarkable frontal lobe atrophy.Acta Neuropathol. 1999; 97: 423-428
- Assessment of dementia in patients with multiple system atrophy.Eur. J. Neurol. 2009; 16: 589-594
- Profile of cognitive impairment and underlying pathology in multiple system atrophy.Mov. Disord. 2017; 32: 405-413
- Second consensus statement on the diagnosis of multiple system atrophy.Neurology. 2008; 71: 670-676
- Development and validation of the Unified Multiple System Atrophy Rating Scale (UMSARS).Mov. Disord. 2004; 19: 1391-1402
- MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.AJNR Am. J. Neuroradiol. 1987; 8: 421-426
- MSA-C is the predominant clinical phenotype of MSA in Japan: analysis of 142 patients with probable MSA.J. Neurol. Sci. 2006; 249: 115-121
- Cognitive impairment in patients with multiple system atrophy and progressive supranuclear palsy.Brain. 2010; 133: 2382-2393
- Consensus paper: the cerebellum's role in movement and cognition.Cerebellum. 2014; 13: 151-177
- Differentiating Alzheimer's disease from subcortical vascular dementia with the FAB test.J. Neurol. 2006; 253: 1490-1494
- Incomplete emptying and urinary retention in multiple-system atrophy: when does it occur and how do we manage it?.Mov. Disord. 2006; 21: 816-823
- Clinical features and autonomic testing predict survival in multiple system atrophy.Brain. 2015; 138: 3623-3631
- The natural history of multiple system atrophy: a prospective European cohort study.Lancet Neurol. 2013; 12: 264-274
Article info
Publication history
Published online: March 10, 2018
Accepted:
March 9,
2018
Received in revised form:
March 3,
2018
Received:
November 16,
2017
Identification
Copyright
© 2018 Elsevier B.V. All rights reserved.
